update model card README.md

README.md

@@ -1,10 +1,7 @@
 ---
-license: apache-2.0
-base_model: distilbert-base-uncased
+license: mit
 tags:
 - generated_from_trainer
-datasets:
-- squad
 model-index:
 - name: my_awesome_qa_model
   results: []
@@ -15,9 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_qa_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.5502
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 
 ## Model description
 
@@ -44,18 +39,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.1456          |
-| 2.6798        | 2.0   | 500  | 1.5923          |
-| 2.6798        | 3.0   | 750  | 1.5502          |
-
-
 ### Framework versions
 
-- Transformers 4.31.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Transformers 4.30.2
+- Pytorch 2.0.0
+- Datasets 2.1.0
 - Tokenizers 0.13.3